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pyproject.toml
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pyproject.toml
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[project]
name = "yunta"
version = "0.0.1.post1"
authors = [
{ name="Eachan Johnson", email="eachan.johnson@crick.ac.uk" },
]
description = "Predicting protein-protein interactions and structures from multiple sequence alignments."
readme = "README.md"
requires-python = ">=3.8"
license = {file = "LICENSE"}
keywords = ["science", "biology", "systems biology", "biochemistry", "machine learning", "analysis", "deep learning", "alphafold2", "rosettafold"]
classifiers = [
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3 :: Only",
]
dependencies = [
"absl-py",
"bioino",
"biopython",
"carabiner-tools[mpl,pd]",
"dm-haiku==0.0.12",
"dm-tree",
"jax",
"ml-collections==0.1.0",
"openpyxl==3.1.0",
"rf2t-micro",
"requests",
"tensorflow==2.17",
"tensorrt",
"torch>=2.3",
"torchvision",
"tqdm"
]
[project.optional-dependencies]
cuda12 = ["jax[cuda12]"]
cuda12_local = ["jax[cuda12_local]"]
cuda11 = ["jax[cuda11]"]
[project.urls]
"Homepage" = "https://github.com/scbirlab/yunta"
"Bug Tracker" = "https://github.com/scbirlab/yunta/issues"
[project.scripts] # Optional
yunta = "yunta.cli:main"
[tool.setuptools]
# If there are data files included in your packages that need to be
# installed, specify them here.
[build-system]
# These are the assumed default build requirements from pip:
# https://pip.pypa.io/en/stable/reference/pip/#pep-517-and-518-support
requires = ["setuptools>=43.0.0", "wheel"]
build-backend = "setuptools.build_meta"